Test Research on the Effect of Peak Cutting and Valley Filling of Distributed Energy Storage Technology in Urban Distribution Network

This paper introduces the method of intelligent soft switching technology into the distribution network. This method can not only achieve power complementation on the power supply side, but also improve the overall efficiency device. This project aims to solve the lack of adaptability of traditional energy storage in peak reduction, and studies the problem of peak reduction and valley filling after grid connection of distributed power supply with the background of realizing flexible access of implicit unit in distributed power supply. Two kinds of requirements, namely the smoothness of the power consumption characteristic curve and the performance of improving the voltage, are considered comprehensively to construct the optimization mathematical model of the distribution network. The voltage deviation of distribution network and the load curve change rate of distribution network are reduced to the maximum extent after peak elimination and valley filling. The PSO was modified by MATLAB programming. The modified IEEE-33 distributed power supply scheduling model is used to simulate it. It is found that the energy storage device can be flexibly introduced into the distribution network, which can not only improve the voltage of the distribution network, but also achieve the purpose of peak reduction and valley filling. This algorithm improves the economy and stability of distribution network.